A predictive multistage postdisaster damage assessment framework for drone routing

عنوان A predictive multistage postdisaster damage assessment framework for drone routing
نویسنده Adsanver, Birce, Göktürk, Elvin Çoban, Koyuncu, Burcu Balçık
تاریخ انتشار: 2024-01
محل انتشار - Wiley
موضوع Damage assessment, Drone routing, Humanitarian operations, Imputation
نوع دوره ای
زبان انگلیسی
دیجیتال بله
نسخه خطی خیر
کتابخانه: دانشگاه اوزیغین
شناسه دارایی کتابخانه 0969-6016
شماره ثبت a2fbc46d-f403-448b-9e14-488a6d347daa
محل کتابخانه Industrial Engineering
تاریخ 2024-01
یادداشت‌ها TÜBİTAK
متن نمونه This study focuses on postdisaster damage assessment operations supported by a set of drones. We propose a multistage framework, consisting of two phases applied iteratively to rapidly gather damage information within an assessment period. In the initial phase, the problem involves determining areas to be scanned by each drone and the optimal sequence for visiting these selected areas. We have adapted an electric vehicle routing formulation and devised a variable neighborhood descent heuristic for this phase. In the second phase, information collected from the scanned areas is employed to predict the damage status of the unscanned areas. We have introduced a novel, fast, and easily implementable imputation policy for this purpose. To evaluate the performance of our approach in real-life disasters, we develop a case study for the expected 7.5 magnitude earthquake in Istanbul, Turkey. Our numerical study demonstrates a significant improvement in response time and priority-based metrics.
DOI 10.1111/itor.13429
مشاهده در منبع دانشگاه اوزیغین Özyeğin Üniversitesi
Özyeğin Üniversitesi دانشگاه اوزیغین

A predictive multistage postdisaster damage assessment framework for drone routing

نویسنده Adsanver, Birce, Göktürk, Elvin Çoban, Koyuncu, Burcu Balçık
تاریخ انتشار 2024-01
محل انتشار - Wiley
موضوع Damage assessment, Drone routing, Humanitarian operations, Imputation
نوع دوره ای
زبان انگلیسی
دیجیتال بله
نسخه خطی خیر
کتابخانه دانشگاه اوزیغین
شناسه دارایی کتابخانه 0969-6016
شماره ثبت a2fbc46d-f403-448b-9e14-488a6d347daa
محل کتابخانه Industrial Engineering
تاریخ 2024-01
یادداشت‌ها TÜBİTAK
متن نمونه This study focuses on postdisaster damage assessment operations supported by a set of drones. We propose a multistage framework, consisting of two phases applied iteratively to rapidly gather damage information within an assessment period. In the initial phase, the problem involves determining areas to be scanned by each drone and the optimal sequence for visiting these selected areas. We have adapted an electric vehicle routing formulation and devised a variable neighborhood descent heuristic for this phase. In the second phase, information collected from the scanned areas is employed to predict the damage status of the unscanned areas. We have introduced a novel, fast, and easily implementable imputation policy for this purpose. To evaluate the performance of our approach in real-life disasters, we develop a case study for the expected 7.5 magnitude earthquake in Istanbul, Turkey. Our numerical study demonstrates a significant improvement in response time and priority-based metrics.
DOI 10.1111/itor.13429
Özyeğin Üniversitesi
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